ArticleScientific reports2021
Low pan-immune-inflammation-value predicts better chemotherapy response and survival in breast cancer patients treated with neoadjuvant chemotherapy.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05468710 (The Prognostic and Predictive Role of Inflammatory Blood Markers in Early and Locally Advanced Breast Cancer Patients Receiving Neoadjuvant Chemotherapy), which is not on this map. Cited by 93 papers, 8 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Prognostic and Predictive Role of Inflammatory Blood Markers in Early and Locally Advanced Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
Who cites it
93 citing papers in PubMed, 8 syntheses or guidelines pooled it, 114 citations in OpenAlex.
- Prognostic value of pretreatment neutrophil-to-lymphocyte ratio in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Predicting the prognosis of breast cancer patients by using pan-immune-inflammation value: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Prognostic value of platelet to lymphocyte ratio (PLR) in breast cancer patients receiving neoadjuvant therapy: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Predictive value of pretreatment circulating inflammatory response markers in the neoadjuvant treatment of breast cancer: meta-analysis.The British journal of surgery · 2024Pooled it
- Pooled it
- Clinical utility of the pan-immune-inflammation value in breast cancer patients.Frontiers in oncology · 2023Pooled it
- Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio as potential predictive markers of treatment response in cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- Prognostic significance of the pretreatment pan-immune-inflammation value in cancer patients: an updated meta-analysis of 30 studies.Frontiers in nutrition · 2023Pooled it
- The Managing Cancer and Living Meaningfully (CALM) Intervention Alleviates Chemotherapy-Related Cognitive Impairment in Patients with Breast Cancer by Modulating Pan-Immune-Inflammation Values.Integrative cancer therapiesTrial
- Pan-immune-inflammation value as a prognostic and predictive biomarker in metastatic non-small cell lung cancer treated with nivolumab: A real-world study.Oncology letters · 2026Article
- Article
- Dynamic Assessment of Systemic Inflammatory Markers in Predicting Pathological Complete Response After Neoadjuvant Treatment in Triple-Negative Breast Cancer.Journal of clinical medicine · 2026Article
- PIV, PNI and HALP score for predicting pathological complete response in breast cancer after neoadjuvant chemotherapy: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- A Novel Biological Index for Predicting Neoadjuvant Treatment Response in HER2-Positive Breast Cancer: The Tumor-Immune-Proliferation-Inflammation (TIPI) Score.Journal of clinical medicine · 2026Article
- Article
- Clinical value of geriatric nutritional risk index and pan-immune-inflammation value in locally advanced gastric cancer receiving neoadjuvant chemotherapy.World journal of gastrointestinal oncology · 2026Article
- Article
- Clinical and pathological indicators for predicting disease-free survival after radical surgery in elderly patients with early-stage triple-negative invasive ductal carcinoma of the breast.Frontiers in oncology · 2026Article
- A Real-Time Online Nomogram Integrating Systemic Inflammatory Response Index and Lactate Dehydrogenase to Predict Pathological Response in Gastric Cancer Patients Receiving Neoadjuvant Chemoimmunotherapy.Cancer management and research · 2026Article
- Associations between pretreatment composite inflammatory indices and pathological response to neoadjuvant therapy in breast cancer: a retrospective cohort study.Frontiers in oncology · 2026Article
33 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Blood-based biomarkers reflect systemic inflammation status and have prognostic and predictive value in solid malignancies. As a recently defined biomarker, Pan-Immune-Inflammation-Value (PIV) integrates different peripheral blood cell subpopulations. This retrospective study of collected data aimed to assess whether PIV may predict the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in Turkish women with breast cancer. The study consisted of 743 patients with breast cancer who were scheduled to undergo NAC before attempting cytoreductive surgery. A pre-treatment complete blood count was obtained in the two weeks preceding NAC, and blood-based biomarkers were calculated from absolute counts of relevant cell populations. The pCR was defined as the absence of tumor cells in both the mastectomy specimen and lymph nodes. Secondary outcome measures included disease-free survival (DFS) and overall survival (OS). One hundred seven patients (14.4%) had pCR. In receiver operating characteristic analysis, optimal cut-off values for the neutrophile-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte (PLR), PIV, and Ki-67 index were determined as ≥ 2.34, ≥ 0.22, ≥ 131.8, ≥ 306.4, and ≥ 27, respectively. The clinical tumor (T) stage, NLR, MLR, PLR, PIV, estrogen receptor (ER) status, human epidermal growth factor receptor-2 (HER-2) status, and Ki-67 index were significantly associated with NAC response in univariate analyses. However, multivariate analysis revealed that the clinical T stage, PIV, ER status, HER-2 status, and Ki-67 index were independent predictors for pCR. Moreover, the low PIV group patients had significantly better DFS and OS than those in the high PIV group (p = 0.034, p = 0.028, respectively). Based on our results, pre-treatment PIV seems as a predictor for pCR and survival, outperforming NLR, MLR, PLR in predicting pCR in Turkish women with breast cancer who received NAC. However, further studies are needed to confirm our findings.
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